I have the following dataset:
df <- as.data.frame(cbind(Position = c(1,2,3,4,5,6,7,8,9,10),
Value = c(11.31, 10.39, 9.50, 6.61, 5.41,
3.88, 3.81, 1.25, 0.70,10.41)))
I would like to plot this as a bar plot with Position values 1-3, 4-6, 7-9, 10 in separate plots, i.e. 4 separate plots below each other. Is there an easy way of doing this in ggplot?
EDIT: I would like to achieve this without having empty Positions.
Cheers, Joseph
The easiest way would be to use facet_grid()
:
ggplot(df, aes(x=Position, y=Value))+
geom_bar(stat='identity')+
facet_grid(~group,scales='free')
Or else,for more control,you could try creating individual plots & using gridExtra
package to combine them.
#Data
enter df <- as.data.frame(cbind(Position = c(1,2,3,4,5,6,7,8,9,10),
Value = c(11.31, 10.39, 9.50, 6.61, 5.41,
3.88, 3.81, 1.25, 0.70,10.41)))
#Grouping
df$group<-cut(df$Position,breaks=c(0,3,6,9,100),c('0-3','4-6','7-9','10'))
#Creating Individual Plots
p1=ggplot(subset(df,df$group=='0-3'), aes(x=Position, y=Value))+
geom_bar(stat='identity')+
ggtitle('0-3')
p2=ggplot(subset(df,df$group=='4-6'), aes(x=Position, y=Value))+
geom_bar(stat='identity')+
ggtitle('4-6')
p3=ggplot(subset(df,df$group=='7-9'), aes(x=Position, y=Value))+
geom_bar(stat='identity')+
ggtitle('7-9')
p4=ggplot(subset(df,df$group=='10'), aes(x=factor(Position), y=Value,width=Value/10))+
geom_bar(stat='identity',width=0.7)+
ggtitle('10')+
xlab(label='Position')
grid.arrange(p1,p2,p3,p4,ncol=2,nrow=2,main='Plot')
Is this what you're looking for?
df <- transform(df, Position=as.factor(Position),
group=as.factor(findInterval(Position, c(1, 4, 7, 10))))
ggplot(df, aes(x=Position, y=Value, fill=Position)) +
geom_bar(stat='identity') +
facet_grid(group ~ .)
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